A model for the visualization and analysis of elevator traffic

ABSTRACT

Analysis of elevator traffic in high rise buildings is critical to the performance evaluation of elevator group control systems (EGCS). Elevator dispatching methods or parking algorithms in an EGCS can be designed or modified according to analyses of traffic flow. However, interpretation of traffic flow based solely on numerical data may not be explicit and transparent for EGCS experts as well as for other non-expert building administration. In this study, we present a model for visualization and analysis of elevator traffic. First, we present an alternative approach for traffic analysis which we call route visualization. In the proposed approach, we initially decompose elevator traffic into its component parts and investigate each component independently. Then, using superposition of components we obtain a reconstructed model of overall traffic. This modeling approach provides component-based traffic analysis and representation of routes with intensities through data visualization. In the second part we introduce a multi-dimensional analysis of time parameters in ECGS. This approach provides a comparative analysis of several control algorithms such as dispatch or park algorithms for different combinations of traffic components.     

Vulnerability analysis for large-scale and congested road networks with demand uncertainty

To assess the vulnerability of congested road networks, the commonly used full network scan approach is to evaluate all possible scenarios of link closure using a form of traffic assignment. This approach can be computationally burdensome and may not be viable for identifying the most critical links in large-scale networks. In this study, an “impact area” vulnerability analysis approach is proposed to evaluate the consequences of a link closure within its impact area instead of the whole network. The proposed approach can significantly reduce the search space for determining the most critical links in large-scale networks. In addition, a new vulnerability index is introduced to examine properly the consequences of a link closure. The effects of demand uncertainty and heterogeneous travellers’ risk-taking behaviour are explicitly considered. Numerical results for two different road networks show that in practice the proposed approach is more efficient than traditional full scan approach for identifying the same set of critical links. Numerical results also demonstrate that both stochastic demand and travellers’ risk-taking behaviour have significant impacts on network vulnerability analysis, especially under high network congestion and large demand variations. Ignoring their impacts can underestimate the consequences of link closures and misidentify the most critical links.     

Prediction of travel time variability for cost-benefit analysis

Unreliable travel times cause substantial costs to travelers. Nevertheless, they are often not taken into account in cost-benefit analyses (CBA), or only in very rough ways. This paper aims at providing simple rules to predict variability, based on travel time data from Dutch highways. Two different concepts of travel time variability are used, which differ in their assumptions on information availability to drivers. The first measure is based on the assumption that, for a given road link and given time of day, the expected travel time is constant across all working days (rough information: RI). In the second case, expected travel times are assumed to reflect day-specific factors such as weather conditions or weekdays (fine information: FI). For both definitions of variability, we find that the mean travel time is a good predictor. On average, longer delays are associated with higher variability. However, the derivative of variability with respect to delays is decreasing in delays. It can be shown that this result relates to differences in the relative shares of observed traffic ‘regimes’ (free-flow, congested, hyper-congested) in the mean delay. For most CBAs, no information on the relative shares of the traffic regimes is available. A non-linear model based on mean travel times can then be used as an approximation.     

往复式压缩机气阀密封面失效分析

气阀是压缩机中发生故障最频繁的部件,故障会直接导致机组排气压比失调、排温高等现象,很大程度上影响企业安全生产及设备的使用寿命.文中对压缩机气阀结构及其故障特征进行了简要阐述,并通过实例分析气阀的故障特征,结合HYSYS计算出工艺气压缩过程中的各组分相图,分析了压缩工艺中气带液的产生过程,总结概括了压缩机气阀密封面失效的...     

一种新型管道机械接头密封分析

随着海洋石油事业的发展,尤其是在役多年的石油平台工艺管道长时间受腐蚀介质和海洋环境的影响容易发生泄漏,传统的管道焊接技术由于需要动火作业,在已投产的石油平台管道维修方面受油气易燃易爆等各种因素的制约,不适应海洋平台管道维修快速、环保、经济等新要求。文中利用ANSYS有限元软件对传统机械接头的结构进行优化分析,开发出一种新型管道机械连接接头。此种接头具有耐高压、耐腐蚀、节能、安全、安装快捷等显著优点,特别适用于海洋石油平台工艺管道的快速维修。着重分析了新型管道机械接头的基本结构、连接机理及影响其密封性能的主要因素,分析结果显示此种连接可靠。     

百色低碳物流发展浅析

文章阐述了百色发展低碳物流的必要性,分析了百色低碳物流发展所面临的问题,提出了针对性的低碳物流发展思路及建议。     

施工最大悬臂状态梁桥P-Δ效应有限元分析

文章以赣江大桥和宁海新桥特大桥为研究对象,利用有限元模型对其主桥施工最大悬臂状态下P-Δ效应进行了计算,分析了考虑P-Δ效应时的桥梁位移与应力变化情况,为今后类似工程的设计计算和施工监控提供参考。     

梧州西江四桥主桥结构设计及受力分析

文章结合梧州西江四桥主桥工程方案,介绍了该主桥桥型的结构受力特性,阐述了主桥各主要构件的设计要点,并通过静力计算及动力分析,验证了该主桥结构设计方案的合理性和可行性。     

基于X-ray CT和离散元法级配离析对沥青混合料骨架结构力学性能的影响

为从细观角度探究分析级配离析对沥青混合料骨架结构力学性能的影响,基于X-ray CT断层图像扫描技术和离散元法建立三维混合料骨架模型,对不同级配离析情况下的混合料骨架内部受力情况、抵抗荷载性能、应力传递性能等方面进行了对比和研究。结果表明:提出了利用X-ray CT断层图像扫描技术构建更接近于真实形态的集料颗粒模型的方法;骨架结构中较粗集料承受了主要的外力荷载作用;以典型的SMA-16级配为例,4.75~9.5 mm档集料是构成该级配集料骨架的关键粒径;骨架结构中细集料的增多有助于提高骨架的抗压强度,发生粗集料离析时,抗压强度将随着离析程度的加剧而显著地降低;不同的级配离析状态对混合料骨架结构的竖向与横向应力传递性能产生不同影响,其中细集料离析对应力传递性能的影响更大。     

某高速公路下边坡稳定性分析及支护方案研究

某高速公路K87+200~K87+320段下边坡高约52 m,边坡坡度约42°~54°,地质条件较复杂。基于理正软件采用瑞典条分法和基于Midas-GTS有限元仿真计算对该边坡的稳定性进行了分析,两种方法的计算得到的边坡滑动面位置和形状基本一致,瑞典条分法计算得到的安全系数为1.241,小于仿真计算的1.309,说明瑞典条分法相对保守。针对该边坡特征,提出完善排水系统+挂网锚喷的支护方案,并利用理正软件对支护后的边坡稳定进行计算,得到其安全系数为1.359>1.35,符合规范要求,说明边坡处于稳定状态。